Lilla, M.
* 1997: Extraction of Discontinuous Chains of Symbols by Means of Perceptual Grouping
* 1997: Fast Algorithm for Target Shadow Removal in Monocular Colour Sequences, A
Lilledahl, M.B.
* 2011: Structural Analysis of Articular Cartilage Using Multiphoton Microscopy: Input for Biomechanical Modeling
Lillekjendlie, B.
* 1997: Circular Arcs Fitted on a Riemann Sphere
Lillemark, L.
* 2012: Bayesian Framework for Automated Cardiovascular Risk Scoring on Standard Lumbar Radiographs, A
Lillesand, T.M.[Thomas M.]
* 2007: Remote Sensing and Image Interpretation
Lillestrand, R.L.
* 1972: Techniques for Change Detection
* 1974: Design of Advanced Digital Image Processing Systems, The
Lillethorup, M.[Morten]
* 2015: Characterizing Digital Light Processing (DLP) 3D Printed Primitives
Lillevold, K.O.
* 1996: Comparison of Different Coding Formats for Digital Coding of Video Using MPEG-2, A
* 1999: Method and apparatus for adaptively switching on and off advanced prediction mode in an H.263 video coder
* 2001: Video coding for streaming media delivery on the internet
Includes: Lillevold, K.O. Lillevold, K.O.[Karl O.]
Lilley, F.
* 2011: Analysis of microscopy and reconstructive images for applications in medicine and biology
* 2011: formulation of a non-linear hertzian model in order to assess the mechanical strength of human cells based on data from an atomic force microscope, The
* 2011: novel technique for the restoration of atomic force microscope images enabling an approximation of AFM impulse response, A
Lillholm, M.
* 2001: What do features tell about images?
* 2003: Feature-Based Image Analysis
* 2003: Gaussian Scale Space from Insufficient Image Information
* 2003: Mode Estimation Using Pessimistic Scale Space Tracking
* 2004: Jet based feature classification
* 2005: Image Features and the 1-D, 2nd Order Gaussian Derivative Jet
* 2005: On Image Reconstruction from Multiscale Top Points
* 2006: Hypotheses for Image Features, Icons and Textons
* 2007: Maximum Likelihood Metameres for Local 2nd Order Image Structure of Natural Images
* 2008: Novel image feature alphabets for object recognition
* 2009: Basic Image Features (BIFs) Arising from Approximate Symmetry Type
* 2009: Statistics and category systems for the shape index descriptor of local 2nd order natural image structure
* 2010: Symmetry Sensitivities of Derivative-of-Gaussian Filters
* 2011: Automatic Segmentation of Vertebrae from Radiographs: A Sample-Driven Active Shape Model Approach
* 2011: Maximum a Posteriori Estimation of Linear Shape Variation With Application to Vertebra and Cartilage Modeling
* 2012: Automatic Quantification of Tibio-Femoral Contact Area and Congruity
* 2013: Linear feature selection in texture analysis: A PLS based method
* 2013: unifying framework for automatic and semi-automatic segmentation of vertebrae from radiographs using sample-driven active shape models, A
* 2016: Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring
Includes: Lillholm, M. Lillholm, M.[Martin]
19 for Lillholm, M.
Lillienskiold, A.[Aleksander]
* 2022: Human-Inspired Haptic-Enabled Learning From Prehensile Move Demonstrations
Lilligreen, G.[Gergana]
* 2021: Rendering Tree Roots Outdoors: A Comparison Between Optical See Through Glasses and Smartphone Modules for Underground Augmented Reality Visualization
* 2021: Survey on Applications of Augmented, Mixed and Virtual Reality for Nature and Environment, A
Lillo Saavedra, M.[Mario]
* 2015: GEOBIA Methodology for Fragmented Agricultural Landscapes, A
* 2016: Scale-Aware Pansharpening Algorithm for Agricultural Fragmented Landscapes
* 2016: Sixteen Years of Agricultural Drought Assessment of the BioBío Region in Chile Using a 250 m Resolution Vegetation Condition Index (VCI)
* 2017: Use of Machine Learning to Improve the Robustness of Spatial Estimation of Evapotranspiration
* 2018: Outlining of Agricultural Plots Based on Spatiotemporal Consensus Segmentation, The
* 2018: TS2uRF: A New Method for Sharpening Thermal Infrared Satellite Imagery
* 2021: Ex Post Analysis of Water Supply Demand in an Agricultural Basin by Multi-Source Data Integration
* 2022: Patagonian Andes Landslides Inventory: The Deep Learning's Way to Their Automatic Detection
Includes: Lillo Saavedra, M.[Mario] Lillo-Saavedra, M.[Mario]
8 for Lillo Saavedra, M.
Lillo, A.O.[Antonio O.]
* 2020: Recurrence Analysis of Vegetation Indices for Highlighting the Ecosystem Response to Drought Events: An Application to the Amazon Forest
Lillo, I.
* 2010: Automated Detection of Fish Bones in Salmon Fillets Using X-ray Testing
* 2014: Discriminative Hierarchical Modeling of Spatio-temporally Composable Human Activities
* 2015: Visual Recognition to Access and Analyze People Density and Flow Patterns in Indoor Environments
* 2016: Hierarchical Pose-Based Approach to Complex Action Understanding Using Dictionaries of Actionlets and Motion Poselets, A
* 2017: Sparse composition of body poses and atomic actions for human activity recognition in RGB-D videos
* 2017: Sparse composition of body poses and atomic actions for human activity recognition in RGB-D videos
Includes: Lillo, I. Lillo, I.[Ivan]
Lillo, J.[Javier]
* 2020: Abandoned Mine Tailings Affecting Riverbed Sediments in the Cartagena-La Union District, Mediterranean Coastal Area (Spain)
Lillo, P.[Paula]
* 2021: Disentangling LiDAR Contribution in Modelling Species-Habitat Structure Relationships in Terrestrial Ecosystems Worldwide. A Systematic Review and Future Directions
Lilly, J.H.
* 2004: Evolutionary Design of a Fuzzy Classifier From Data
Lilly, P.
* 2003: modification to the Goldstein radar interferogram filter, A
Lillywhite, K.[Kirt]
* 2007: FPGA Implementation of a Feature Detection and Tracking Algorithm for Real-time Applications
* 2009: Real-time human detection using histograms of oriented gradients on a GPU
* 2011: Automated Fish Taxonomy Using Evolution-COnstructed Features
* 2012: Improving Evolution-Constructed features using speciation for general object detection
* 2012: Self-tuned Evolution-Constructed features for general object recognition
* 2013: feature construction method for general object recognition, A
* 2016: Review of stereo vision algorithms and their suitability for resource-limited systems
7 for Lillywhite, K.
Lillywhite, K.D.[Kirt D.]
* 2007: Hardware-Friendly Adaptive Tensor Based Optical Flow Algorithm, A
* 2008: Accurate Optical Flow Sensor for Obstacle Avoidance
* 2011: Dense Disparity Real-Time Stereo Vision Algorithm for Resource-Limited Systems
* 2014: Automatic Facial Expression Recognition Using Evolution-Constructed Features
* 2015: Efficient stereo vision algorithms for resource-limited systems
Includes: Lillywhite, K.D.[Kirt D.] Lillywhite, K.D.